How swarm intelligence solves routing problems in 20 seconds without training data скачать в хорошем качестве

How swarm intelligence solves routing problems in 20 seconds without training data

Fred Gertz applies ant colony algorithms to solve NP-hard optimization problems in 20 seconds without training data. While LLMs struggle with complex scheduling and routing, his swarm intelligence approach combines search and optimization in one pass, making advanced operations research accessible to manufacturers running on spreadsheets. In this episode, Fred breaks down why Six Sigma's focus on variation reduction misses the point, how Taguchi methods map process parameters to business outcomes, and why agent coordination across 500+ enterprise agents is swarm intelligence's next frontier. CHAPTERS 00:00 Introduction 00:14 Fred's background: From nanotechnology PhD to data science 04:47 What is swarm intelligence and how it differs from traditional AI 08:12 Solving data variety problems in manufacturing 14:53 Why Six Sigma misses the point: Taguchi vs variation reduction 20:30 Operations research: Making complex math accessible 24:14 Deploying AI solutions in low-data environments 29:14 What customers are thinking about: AI projects and transformation 32:00 Brand voice and personality evolution at Collide 35:01 Validation frameworks: IQ/OQ/PQ for AI in regulated industries 38:28 Agent coordination: The next frontier for swarm intelligence 41:24 Predictions for 2026: LLM plateau and optimization's rise